An approach for low-power heterogeneous parallel implementation of ALC-PSO algorithm using OmpSs and CUDA.
Fahimeh YazdanpanahMohammad AlaeiPublished in: Parallel Comput. (2024)
Keyphrases
- parallel implementation
- low power
- pso algorithm
- particle swarm optimization
- power consumption
- particle swarm optimization pso
- global optimization
- low cost
- high speed
- particle swarm optimization algorithm
- convergence speed
- particle swarm
- single chip
- particle swarm optimisation
- inertia weight
- adaptive particle swarm optimization
- parallel computation
- parallel computers
- vlsi architecture
- low power consumption
- image sensor
- hybrid pso
- differential evolution
- distributed memory
- particle swarm optimizer
- pid controller
- logic circuits
- real time
- genetic algorithm ga
- ant colony optimization
- general purpose
- artificial neural networks
- gate array
- mixed signal
- energy efficiency
- genetic algorithm